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首页> 外文期刊>Nutrient Cycling in Agroecosystems >Application of the DNDC model to tile-drained Illinois agroecosystems: model comparison of conventional and diversified rotations
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Application of the DNDC model to tile-drained Illinois agroecosystems: model comparison of conventional and diversified rotations

机译:DNDC模型在排水的伊利诺伊州农业生态系统中的应用:常规轮作和多样化轮作的模型比较

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Using the DeNitrification–DeComposition (DNDC) model we compare conventional, fertilizer-driven corn–soybean rotations to alternative management scenarios which include the management of cereal rye cover crops and corn–soybean–wheat–red clover rotations. We conduct our analysis for tile-drained, silty clay loam soils of Illinois. DNDC simulations suggest that, relative to conventional rotations, a nitrate leaching reduction of 30–50% under corn and of 15–50% under soybean crops can be achieved with diversified rotations, an outcome which corroborates results from a quantitative literature review we previously conducted using a meta-analysis framework. Additionally, over a 10-year simulation, legume-fertilized systems are predicted to result in 52% lower N2O gas flux relative to fertilizer-driven systems. We identify soil organic carbon storage, legume N-fixation rate, and cereal rye cover crop growth as areas requiring further development to accurately apply DNDC to diversified cropping systems. Overall, DNDC simulation suggests diversified rotations that alternate winter and summer annuals have the potential to dramatically increase N retention in agroecosystems.
机译:使用反硝化分解(DNDC)模型,我们将传统的,肥料驱动的玉米-大豆轮作与替代管理方案进行了比较,其中包括管理谷物黑麦覆盖作物和玉米-大豆-小麦-红三叶草的轮作。我们对伊利诺伊州的瓷砖排水的粉质粘土壤土进行了分析。 DNDC模拟表明,相对于常规轮作,通过多样化轮作可以实现玉米下硝酸盐浸出减少30–50%,大豆作物上硝酸盐浸减少减少15–50%,这一结果证实了我们之前进行的定量文献综述的结果使用荟萃分析框架。此外,经过10年的模拟,预计豆类施肥系统的N2O气体通量要比肥料驱动系统低52%。我们将土壤有机碳存储量,豆类固氮率和谷物黑麦覆盖作物的生长确定为需要进一步开发以将DNDC准确地应用于多种种植系统的领域。总体而言,DNDC模拟表明,冬季和夏季每年交替进行的轮换有可能显着增加农业生态系统中的氮保留量。

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